| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0575756 |
| utime |
20240402214439.4 |
| mtime |
20230922235959.9 |
| DOI |
10.1109/ICIP49359.2023.10223161 |
| title
(primary) (eng) |
Real-Time Wheel Detection and Rim Classification in Automotive Production |
| specification |
| page_count |
5 s. |
| media_type |
E |
|
| serial |
| ARLID |
cav_un_epca*0575755 |
| ISBN |
978-1-7281-9835-4 |
| title
|
Proceedings of the 2023 IEEE International Conference on Image Processing (ICIP) |
| page_num |
1410-1414 |
| publisher |
| place |
Piscataway |
| name |
IEEE |
| year |
2023 |
|
|
| keyword |
Detection |
| keyword |
Classification |
| keyword |
Automotive |
| author
(primary) |
| ARLID |
cav_un_auth*0455337 |
| name1 |
Staněk |
| name2 |
R. |
| country |
CZ |
|
| author
|
| ARLID |
cav_un_auth*0379363 |
| name1 |
Kerepecký |
| name2 |
Tomáš |
| institution |
UTIA-B |
| full_dept (cz) |
Zpracování obrazové informace |
| full_dept |
Department of Image Processing |
| department (cz) |
ZOI |
| department |
ZOI |
| full_dept |
Department of Image Processing |
| country |
CZ |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0283562 |
| name1 |
Novozámský |
| name2 |
Adam |
| institution |
UTIA-B |
| full_dept (cz) |
Zpracování obrazové informace |
| full_dept |
Department of Image Processing |
| department (cz) |
ZOI |
| department |
ZOI |
| full_dept |
Department of Image Processing |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0101209 |
| name1 |
Šroubek |
| name2 |
Filip |
| institution |
UTIA-B |
| full_dept (cz) |
Zpracování obrazové informace |
| full_dept |
Department of Image Processing |
| department (cz) |
ZOI |
| department |
ZOI |
| full_dept |
Department of Image Processing |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0101238 |
| name1 |
Zitová |
| name2 |
Barbara |
| institution |
UTIA-B |
| full_dept (cz) |
Zpracování obrazové informace |
| full_dept |
Department of Image Processing |
| department (cz) |
ZOI |
| department |
ZOI |
| full_dept |
Department of Image Processing |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0101087 |
| name1 |
Flusser |
| name2 |
Jan |
| institution |
UTIA-B |
| full_dept (cz) |
Zpracování obrazové informace |
| full_dept |
Department of Image Processing |
| department (cz) |
ZOI |
| department |
ZOI |
| full_dept |
Department of Image Processing |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| cas_special |
| project |
| project_id |
GA21-03921S |
| agency |
GA ČR |
| ARLID |
cav_un_auth*0412209 |
|
| project |
| project_id |
StrategieAV21/1 |
| agency |
AV ČR |
| country |
CZ |
| ARLID |
cav_un_auth*0441412 |
|
| abstract
(eng) |
This paper proposes a novel approach to real-time automatic rim detection, classification, and inspection by combining traditional computer vision and deep learning techniques. At the end of every automotive assembly line, a quality control process is carried out to identify any potential defects in the produced cars. Common yet hazardous defects are related, for example, to incorrectly mounted rims. Routine inspections are mostly conducted by human workers that are negatively affected by factors such as fatigue or distraction. We have designed a new prototype to validate whether all four wheels on a single car match in size and type. \nAdditionally, we present three comprehensive open-source databases, CWD1500, WHEEL22, and RB600, for wheel, rim, and bolt detection, as well as rim classification, which are free-to-use for scientific purposes. |
| action |
| ARLID |
cav_un_auth*0455338 |
| name |
IEEE International Conference on Image Processing 2023 (ICIP 2023) |
| dates |
20231008 |
| mrcbC20-s |
20231011 |
| place |
Kuala Lumpur |
| country |
MY |
|
| RIV |
JC |
| FORD0 |
10000 |
| FORD1 |
10200 |
| FORD2 |
10201 |
| reportyear |
2024 |
| num_of_auth |
6 |
| presentation_type |
PO |
| inst_support |
RVO:67985556 |
| permalink |
https://hdl.handle.net/11104/0345841 |
| cooperation |
| ARLID |
cav_un_auth*0439145 |
| name |
Univerzita Karlova |
| institution |
UK |
| country |
CZ |
|
| cooperation |
| ARLID |
cav_un_auth*0377559 |
| name |
ČVUT v Praze, Fakulta jaderného a fyzikálního inženýrství |
| institution |
ČVUT FJFI |
| country |
CZ |
|
| confidential |
S |
| arlyear |
2023 |
| mrcbU14 |
SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
WOS |
| mrcbU63 |
cav_un_epca*0575755 Proceedings of the 2023 IEEE International Conference on Image Processing (ICIP) 978-1-7281-9835-4 1410 1414 Piscataway IEEE 2023 |
|